If, in the future, Python used a library such as MPFR and made all floats a
given precision (say, by giving a flag to the interpreter "python
-prec2048"), it would never be enough to make infinity because it only has
the limitation of a 64 bit exponent.

This is just an example of course, probably won't happen, but when I read
"1e1000" or such a number it doesn't strike me as infinite (although a
particular version of IEEE floating point may consider it that), it strikes
me as a lazy programmer who thinks it's bigger than any other number he's
processing. I've added this case to my PEP .rst file and why it's not a
good solution

Thanks,
Cade

On Sat, Sep 12, 2020, 8:25 AM Stephen J. Turnbull <
turnbull.stephen...@u.tsukuba.ac.jp> wrote:

> Guido van Rossum writes:
>
>  > I don't actually understand why Stephen made this claim about
>  > arithmetic operations,
>
> Stephen is often mistaken about computers (among many topics).  That's
> why he mostly posts on -ideas, and mostly throws drafts away rather
> than post them. :-)
>
> I would not claim that evaluating a literal such as 1e1000 is not an
> arithmetic operation, I just "forgot" that these examples exist
> (mostly in a context of trying to get NaN with math.asin(2) and got
> ValueError instead ;-/ ).
>
> I still stand by the argument that since some common ways of producing
> true infinities (rather than overflows) and NaNs such as 1.0/0.0 and
> 0.0/0.0 end up as Exceptions rather than float values, inf and nan
> have rather small usefulness in Python with only builtins, especially
> nan.  "from math import inf" has to be the least annoying thing about
> working with infinities and overflows in Python (which, to be fair, is
> quite annoying in any context, on computers or on paper).
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